The graph represents a network of 2,527 Twitter users whose tweets in the requested range contained "#sportsbiz", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 28 March 2022 at 21:59 UTC.
The requested start date was Monday, 28 March 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 23-hour, 43-minute period from Monday, 14 March 2022 at 00:05 UTC to Sunday, 27 March 2022 at 23:49 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 2527
Unique Edges : 2414
Edges With Duplicates : 4616
Total Edges : 7030
Number of Edge Types : 5
Retweet : 1536
MentionsInRetweet : 2699
Replies to : 58
Mentions : 1847
Tweet : 890
Self-Loops : 945
Reciprocated Vertex Pair Ratio : 0.0372015546918379
Reciprocated Edge Ratio : 0.0717344753747323
Connected Components : 256
Single-Vertex Connected Components : 114
Maximum Vertices in a Connected Component : 1651
Maximum Edges in a Connected Component : 5054
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.557818
Graph Density : 0.000585286193355623
Modularity : 0.491918
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 2,527 Twitter users whose tweets in the requested range contained "#sportsbiz", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 28 March 2022 at 21:59 UTC.
The requested start date was Monday, 28 March 2022 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 23-hour, 43-minute period from Monday, 14 March 2022 at 00:05 UTC to Sunday, 27 March 2022 at 23:49 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : #sportsbiz
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[115] #sportsbiz,#sportbusiness [82] day,flames [82] flames,pl [82] pl,winner [82] winner,jackets [82] jackets,ml [82] ml,winner [82] winner,join [82] join,collect [81] firstladynhl,day Top Word Pairs in Tweet in G1:
[45] next,yrs [44] another,winner [44] winner,maacsports [44] maacsports,conference [44] conference,600k [44] 600k,each [44] each,school [44] school,1st [44] 1st,#stpeters [44] #stpeters,wins Top Word Pairs in Tweet in G2:
[28] stunts,redbull [28] redbull,pulls [28] pulls,athletes [28] athletes,continues [28] continues,astound [28] astound,103km [28] 103km,speed [28] speed,skating [28] skating,good [28] good,lord Top Word Pairs in Tweet in G3:
[15] mzansi,#f1 [15] #f1,gp [15] gp,need [15] need,bring [15] bring,home [15] home,took [15] took,time [15] time,understand [15] understand,break [15] break,down Top Word Pairs in Tweet in G4:
[25] premier,league's [23] league's,reported [23] reported,nft [23] nft,deal [23] deal,consensys [23] consensys,still [23] still,images [23] images,dapper [23] dapper,labs [23] labs,video Top Word Pairs in Tweet in G5:
[14] #sports,#sportsbiz [14] 22,nhl [14] nhl,picks [14] #nhl,#hockeypicks [14] #hockeypicks,#freepicks [14] #freepicks,#freepick [14] #freepick,#nhlpick [14] #nhlpick,#sportsbettingtipster [14] #sportsbettingtipster,#expertpick [14] #expertpick,#nhltwitter Top Word Pairs in Tweet in G6:
[24] #sportsdestinations,#sportsbusiness [24] #sportsbusiness,#sportsbiz [9] women,sports [6] sports,women [6] women,playing [5] women,sport [5] different,league [5] speaking,engagements [5] looking,forward [4] women,hockey Top Word Pairs in Tweet in G7:
[82] day,flames [82] flames,pl [82] pl,winner [82] winner,jackets [82] jackets,ml [82] ml,winner [82] winner,join [82] join,collect [81] firstladynhl,day [81] collect,crus Top Word Pairs in Tweet in G8:
[13] #sportsvenuebiz,#sportsvenuebusiness [10] #alsdinternational,#sportsvenuebiz [9] #sportsbiz,#alsdinternational [5] appoint,ptidigital [5] digital,transformation [5] sportsvenuebiz,news [4] #stadia,#alsdinternational [4] news,hibernianfc [4] hibernianfc,appoint [4] ptidigital,drive Top Word Pairs in Tweet in G9:
[74] canada,soccer [74] soccer,nation [74] nation,last [74] last,night's [74] night's,#canmnt [74] #canmnt,vs [74] vs,costa [74] costa,rica [74] rica,match [74] match,started Top Word Pairs in Tweet in G10:
[33] #sportsbiz,#sportstech [29] #4k,#hdr [29] #football,#soccer [28] #uhd,#4k [27] #soccer,#sportsbiz [15] #byju,sponsor [15] sponsor,#fifa [15] #fifa,#worldcup2022 [15] #worldcup2022,#indian [15] #indian,co Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G6:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
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Top Tweeters in G10: